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The paper's primary purpose is to define and characterize the innovative concept in public management theory, New Public Governance (NPG), from its theoretical framework and the view of public management institutions. The second objective is to create a logical framework to explain this notion. The broader role of this paper is to expand the understanding of this contemporary public management trend.

The methodological approach of the authors' research is based on a deep understanding of theoretical sources, particularly the scientific precursors in the literature surrounding the NPG theory. The authors used the following methods to achieve the paper's goals: critical thematic literature review and synthetic comparative analysis.

In regards to scientific analysis, the goals of NPG were achieved, considering that its concept and main characteristics were displayed in definitional terms as a trend in public management, emphasizing institutional cooperation and co-production, having strengths in social inclusion and weaknesses in the lack of participatory experience of the actors. Additionally, the authors created the original 6-CO coherent conceptual framework describing the flows in the NPG operation based on theoretical foundations. The analysis of theoretical sources not only allowed the collection of common and disconnected features of the reasoning behind the definition and depth of the NPG but also insufficient development of the theory in existing sources.

The paper demonstrates critical new scholarship surrounding the NPG theory because it (1) applies one of the latest trends in public management, (2) juxtaposes various academics' understanding of the concept and, most importantly, (3) advances the theory of NPG with the original 6-CO coherent conceptual framework as a practical implication of the theory originator.

This paper seeks to demonstrate the value of using social media to capture fashion trends, including the popularity of specific features of clothing, in order to improve the speed and accuracy of supply chain response in the era of fast fashion.

This study examines the role that text mining can play to improve trend recognition in the fashion industry. Researchers used n-gram analysis to design a social media trend detection tool referred to here as the Twitter Trend Tool (3Ts). This tool was applied to a Twitter dataset to identify trends whose validity was then checked against Google Trends.

The results suggest that Twitter data are trend representative and can be used to identify the apparel features that are most in demand in near real time.

The 3Ts introduced in this research contributes to the field of fashion analytics by offering a novel method for employing big data from social media to identify consumer preferences in fashion elements and analyzes consumer preferences to improve demand planning.

The 3Ts improves forecasting models and helps inform marketing campaigns in the apparel retail industry, especially in fast fashion.

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

This article highlights the dynamic and evolving nature of libraries and the role of librarians within the changing landscape. It discusses how libraries have traditionally operated and how they have been impacted by 4IR and external factors such as the COVID-19 pandemic.

The study employed a mixed methods research approach, combining an online questionnaire to derive quantitative data and interviews to provide qualitative data. The follow-up interviews provided a comprehensive understanding of how academic librarians at the DUT library use Continuing Professional Development (CPD) to adapt to the evolving environment.

This paper reports that there was consensus that CPD empowers the librarians to adapt seamlessly to the dynamic library landscape. It equips them with the knowledge and skills to stay updated on the latest trends, technologies and best practices in their field.

The findings carry implications for the planning and executing of ongoing CPD programmes and activities across all academic libraries.

This study provides an insight into the results of the importance of CPD for librarians within a developing country in southern Africa.

This study aims to identify the trending topics, emerging themes and future research directions in supply chain management (SCM) through multiple source of data. The insights would be of use to academics, practitioners and policymakers to leverage latest developments in addressing current and future challenges.

This study uses a multiple source of data such as published literature and social media data including supply chain blogs and forums contents on business-to-business (B2B) firms to identify trending topics, emerging themes and future research directions in SCM. Topic modeling, a machine learning technique, is used to derive the topics and themes. Examining supply chain blogs and forums offer a valuable perspective on current issues and challenges faced by B2B firms. By analyzing the content of these online discussions, the study identifies emerging themes and topics of interest to practitioners and researchers.

The study synthesizes 1,648 published articles and more than 1.3 lakh tweets, discussions and expert views from social media, including various blogs and supply chain forums, and identifies six themes, of which three are trending, and the other three are emerging themes in the supply chain. Rather than aggregate implications, the study integrates findings from two databases and proposes a framework encompassing the drivers, processes and impacts on each theme and derives promising avenues for future research.

Prior literature has majorly used published research articles and reports as a primary source of information to identify the trending theme and emerging topics. To the best of the authors’ knowledge, this is the first study of its kind to examine the potential value of information from social media, such as blogs, websites, forums and published literature to discover new supply chain trends and themes related to B2B firms and derive encouraging possibilities for future research.

Research has shown that business model innovation can facilitate most ventures to innovate and remain competitive, yet there has been limited work on how digital leadership capabilities influence business model innovation. Building on the dynamic capabilities view, we address this gap by linking digital leadership capabilities with business model innovation via managerial decision-making through provision of grants received by new ventures.

The study is cross-sectional research. Data have been collected utilizing purposive sampling from 313 founding members of new ventures in high-velocity markets, i.e. from Pakistan. SPSS has been used to conduct the moderated mediation analysis.

Digital leadership capabilities foster the business model innovation of the new ventures because they enable new ventures to capitalize on digital technologies and create new ways of generating value for the customers and themselves. Moreover, managerial decision-making mediates digital leadership capabilities and business model innovation relationship, whereas, grants moderate the indirect positive effect of digital leadership capabilities on business model innovation via managerial decision-making. The study generates initial evidence on the impact of digital leadership capabilities on business model innovation via managerial decision-making for new ventures. We advance knowledge on new ventures’ business model innovation by deep-diving into dynamic capabilities view and emphasizing digital leadership capabilities as a significant driver for business model innovation.

With the help of dynamic capabilities theory, this study analyzes how new ventures make use of digital leadership capabilities to promote business model innovation.

Assuming that knowledge management is a pivotal issue in business to improve and maintain competitive advantages, this paper aims to investigate how knowledge management is useful to face challenges about the integration of environment, social and governance (ESG) factors, filling the gap in the literature regarding knowledge management and ESG in the banking world by considering a real case.

Starting from the analysis of the more relevant literature on the topic, this paper describes an illustrative real case through interviews with the credit department of an Italian bank that has adopted a specific sustainability approach. This paper discusses this case in the context of the outlined theoretical background to explore the trends and challenges of ESG integration. The case study allows us to evaluate and expand our theoretical framework, leading to a greater understanding of the complex phenomenon under investigation.

Based on the analysis of the literature combined with the insights that emerged from the experience of the real case, this study shows that there are three primary factors to consider: data issues, competencies and workflow. This study outlines an enhanced knowledge management framework displaying the complexity emerging from the integration of ESG into a bank’s credit department and identify the best practices to pursue.

Given the increasing pressure toward the incorporation of ESG factors into the banking sector, the practical implications of the study are relevant as they provide guidelines for action. Specifically, the practical problems highlighted by the real case, like the priority on themes such as questionnaires, the need for ad hoc commissions and workflow, drive the attention of decision-makers on key aspects to effectively adopt an advanced knowledge management approach aimed at improving the ESG integration. Considering the effect of the banking system on the economy, the best practices this study has identified can also have a positive impact on society as a whole.

The proposed enhanced knowledge management framework offers a guideline to orchestrate ESG integration into banks’ credit departments, considering the increasing need to frame a sustainability-oriented strategic approach that emerges from academic and practical enquiries. This research represents an initial attempt to investigate the integration of ESG factors in the banking system through the lens of knowledge management. The strategic nature of the ESG approach clearly appears in a dynamic environment where stakeholder pressures and regulatory evolutions are strong.

This paper shows how organisational agility allows companies to adopt the necessary changes to remain competitive and produce with a lower environmental impact, implying customers in the value chain.

This investigation uses a cross-sectional design to collect data on the study variables from a sample of 260 Spanish manufacturing organisations. Structural equations with PLS are applied to test hypotheses.

Results show that organisational agility is positively related to eco-innovation. Furthermore, eco-innovation results in a positive relationship with organisational performance. Finally, it has been found that customer involvement positively moderates the effect of organisational agility on new green processes and products and makes green product innovations more successful.

Conclusions indicate that would be advisable that innovative companies promote capabilities such as organisational agility, and integrating customer involvement throughout their value chain, for developing successful new green products increasing their results with a lower environmental impact. Likewise, the customer’s involvement in eco-innovation projects has been found, in companies with agile behaviours, that could aim to increase their performance, helping to react more quickly to market trends and saving money in product development.

This investigation addresses three gaps previously identified in the literature. Firstly, it covers a lack of research on how agility could foster green innovation and how this could positively affect their performance outcomes. Secondly, it studies a moderating factor, customer involvement, and its effects on the relationship between organisational agility and eco-innovation in product and process and between eco-innovation in product and organisational performance. Thirdly, it introduces dynamic capabilities theory through agility concept to study the dynamic context of the eco-environment.

Scholars have affirmed that a conceptualization of value co-creation in business relationships should reflect the nature and characteristics of interactional processes that occur in use. The advent of sales and marketing technologies, however, is changing the nature and dynamics of interactions. New trends in digitalization have played a significant role in emphasizing and facilitating the occurrence of business-to- business (B2B) collaborative or sharing economy. The B2B sharing economy and value co-creation are closely intertwined, as businesses harness the power of shared resources and collaboration to generate value in diverse ways. This study highlights the importance of going beyond value co-creation in studying B2B collaborative economy, unpacking the interconnected value processes that influence value co-creation. It also aims at showing the activities that characterize multiple joint value spheres among actors.

The study consists of 49 qualitative interviews with managers operating in different industries.

The paper shows that when considering digital B2B contexts, five joint value spheres in business relationships should be considered: a value co-creation, a value appropriation, a value communication, a value measurement and a value representation sphere. Each one is characterized by specific activities that are relevant from a managerial point of view.

This study highlights that value co-creation has often been over stressed when discussing business interactions, also with the advent of new technologies. Rather, this study offers a more comprehensive view of value co-creation that includes different value processes occurring in joint value spheres. These further processes are relevant because failure and success in business relationships within the B2B sharing economy are often dependent from activities outside the value co-creation process, which strongly affect it. Such knowledge will also open up new research venues and opportunities to better contribute to the practice of value management in business relationships.

The purpose of this paper is to analyze the life history of the Spanish Generation X over the last five decades.

Considering that the generational cohort concept can be identified from the marketing side as a market segment, this paper proposes to analyze the socio-economic and cultural context that has marked the different life stages of Generation X, and how they have related to brands according to their needs, desires and aspirations.

The results show that the customer journey can be considered a circular concept. The customer’s relationship with the brand can begin in childhood and continue into adulthood, such that the emotional relationship established with the brand as a child influences purchase decisions in adulthood.

Although limited to the analysis of Generation X and its relationship with brands, this paper shows the importance of knowing the socio-economic, legal and cultural context of a generation.

As a business implication, the importance of remarketing is evident as a business strategy that reinforces the emotional connection between the brand and the different generations.

From a social point of view, this paper shows the power of brands as an element of self-expression of the needs, tastes or preferences of individuals is evident.

This paper offers a different and innovative vision of the customer journey, taking into account the individual’s life cycle, and the way in which at each stage of life, he/she relates to brands in a different way.